max-mapper

Your API does REST, but can it SLEEP?

SLEEP (Syncable Lightweight Event Emitting Persistence) is an emerging standard for distributed data sync using HTTP and JSON. A generalized version of CouchDB's much lauded built-in replication, SLEEP extends the REST architecture to define a way in which databases can offer syncable JSON APIs that foster open data innovation by allowing developers to replicate entire databases over the net.

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SLEEP comes from the Apache CouchDB project which is now widely known for it's multi-master streaming HTTP + JSON replication. This is possible in part because of the CouchDB _changes feed, which is a particular API that lets you see if there have been any changes made to the database since last time you synchronized. CouchDB can efficiently implement the _changes feed because of one subtle difference between it and most other databases: it stores a history of all changes that happen to the database, including deletes.

If you synchronize data from a remote source and then the

dch

Pre-requisites

• install MSYSGIT and add <gitdir>/bin/cmd to path
• install Erlang/OTP minimum R15B02 (fixes escript swallowing stdout on exit, and adds line numbers to errors)
• add Erlang/OTP to path

get fresh rebar

git clone git://github.com/basho/rebar.git

cd rebar

janl

The CouchDB Plugin System

This document describes a possible future CouchDB Plugin system.

This is a work in progress, all the feedback is welcome. Please simplify and rewrite this as you see fit.

Once this is a solid description of what we want to build, we cna start building it.

High Level User-Oriented Walkthrough

ryanramage

(function (root, factory) {
    if (typeof exports === 'object') {
        module.exports = factory( require('FILLME_A'), require('FILLME_B'), require('FILLME_C'));
    } else if (typeof define === 'function' && define.amd) {
        define(['FILLME_A', 'FILLME_B', 'FILLME_C'],factory);
    } else {
        root.FILLME_GLOBAL_NAME = factory(root.FILLME_A, root.FILLME_B, root.FILLME_C);
    }
}(this, function (FILLME_A, FILLME_B, FILLME_C) {

max-mapper

// data comes from here http://stat-computing.org/dataexpo/2009/the-data.html
// download 1994.csv.bz2 and unpack by running: cat 1994.csv.bz2 | bzip2 -d > 1994.csv
// 1994.csv should be ~5.2 million lines and 500MB
// importing all rows into leveldb took ~50 seconds on my machine

// there are two main techniques at work here:
// 1: never create JS objects, leave the data as binary the entire time (binary-split does this)
// 2: group lines into 16 MB batches, to take advantage of leveldbs batch API (byte-stream does this)

var level = require('level')

michaelneale

#!/bin/sh                                                                                                                                                                            

remove_dangling() {
   echo "Removing dangling images ..."
   docker rmi $(docker images -f dangling=true -q)
}

remove_stopped_containers() {
    echo "Removing stopped containers ..."
    docker rm $(docker ps -qa)

juliangruber

<key>CFBundleURLTypes</key>
<array>
  <dict>
    <key>CFBundleURLName</key>
    <string>Dat Link</string>
    <key>CFBundleURLSchemes</key>
    <array>
      <string>dat</string>
    </array>
  </dict>